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针对遗传算法爬山能力差的弱点 ,对传统遗传算法进行改进 ,提出了将遗传算法与Alopex(Algorithms of pattern extraction)算法相结合 ,结合在一起的混合算法充分发挥了两者的优越性 ,对典型函数的测试表明该算法提高了遗传算法的计算速度和计算精度 .
In order to improve the traditional genetic algorithm (GA) based on the weakness of genetic algorithm’s hill-climbing ability, a hybrid algorithm combining genetic algorithm and Alopex (Algorithms of pattern extraction) algorithm is proposed to give full play to the advantages of the two. Function tests show that the algorithm improves the computational speed and accuracy of genetic algorithm.